code: def floordiv(x1, x2, out=None, where=None, **kwargs):
      """
      Return the largest integer smaller or equal to the division of the inputs.
      It is equivalent to the Python ``//`` operator and pairs with the
      Python ``%`` (`remainder`), function so that ``b = a % b + b * (a // b)``
      up to roundoff.
  
      Parameters
      ----------
      x1 : array_like
          Numerator.
      x2 : array_like
          Denominator.
      out : Tensor, None, or tuple of Tensor and None, optional
          A location into which the result is stored. If provided, it must have
          a shape that the inputs broadcast to. If not provided or `None`,
          a freshly-allocated array is returned. A tuple (possible only as a
          keyword argument) must have length equal to the number of outputs.
      where : array_like, optional
          Values of True indicate to calculate the ufunc at that position, values
          of False indicate to leave the value in the output alone.
      **kwargs
  
      Returns
      -------
      y : Tensor
          y = floor(`x1`/`x2`)
  
  
      See Also
      --------
      remainder : Remainder complementary to floor_divide.
      divmod : Simultaneous floor division and remainder.
      divide : Standard division.
      floor : Round a number to the nearest integer toward minus infinity.
      ceil : Round a number to the nearest integer toward infinity.
  
      Examples
      --------
      >>> import mars.tensor as mt
  
      >>> mt.floor_divide(7,3).execute()
      2
      >>> mt.floor_divide([1., 2., 3., 4.], 2.5).execute()
      array([ 0.,  0.,  1.,  1.])
      """
      op = TensorFloorDiv(**kwargs)
      return op(x1, x2, out=out, where=where)
  
file_path: mars/mars/tensor/arithmetic/floordiv.py
imports: import numpy
  from ...None import opcodes
  from ..utils import infer_dtype
  from .core import TensorBinOp
  from .utils import arithmetic_operand
label_desc: Use image node_id 1 for calling a global function with example usage: floordiv(x1, x2, out, where) and returns: op